Stat Leaders
See who leads every division. Rank UFC fighters by CCR and TSR, striking, grappling, and control—with every metric measured against their weight class peers.
Brandon Jenkins
Lightweight
88.4
CCR
Matt Sayles
Lightweight
88.3
CCR
Frankie Edgar
Bantamweight
88.2
CCR
Zarrukh Adashev
Flyweight
88.2
CCR
Ben Rothwell
Heavyweight
88.1
CCR
Zhalgas Zhumagulov
Flyweight
88.1
CCR
Dylan Budka
Middleweight
88.1
CCR
Connor Matthews
Featherweight
88.0
CCR
Laureano Staropoli
Middleweight
87.8
CCR
Aleksei Oleinik
Heavyweight
87.8
CCR
Andreas Michailidis
Welterweight
87.8
CCR
Scott Holtzman
Lightweight
87.8
CCR
Kron Gracie
Featherweight
87.7
CCR
Kevin Lee
Welterweight
87.7
CCR
Marc-Andre Barriault
Middleweight
87.7
CCR
Phil Hawes
Middleweight
87.7
CCR
Mallory Martin
Women's Strawweight
87.7
CCR
Journey Newson
Catch Weight
87.7
CCR
Brian Kelleher
Bantamweight
87.6
CCR
Tucker Lutz
Featherweight
87.5
CCR
Jhonata Diniz
Heavyweight
87.4
CCR
Chris Barnett
Heavyweight
87.4
CCR
Kevin Natividad
Bantamweight
87.3
CCR
Nate Landwehr
Featherweight
87.3
CCR
Lucas Almeida
Featherweight
87.3
CCR
Jake Collier
Heavyweight
87.3
CCR
Fabio Cherant
Light Heavyweight
87.2
CCR
TJ Brown
Featherweight
87.2
CCR
Kevin Croom
Bantamweight
87.1
CCR
Mauricio Rua
Light Heavyweight
87.1
CCR
Jessica-Rose Clark
Women's Bantamweight
87.1
CCR
Jonathan Pearce
Featherweight
87.0
CCR
Deron Winn
Middleweight
87.0
CCR
Liana Jojua
Women's Flyweight
86.9
CCR
Roosevelt Roberts
Lightweight
86.9
CCR
Poliana Botelho
Women's Flyweight
86.9
CCR
Trevin Jones
Bantamweight
86.9
CCR
Ryan Benoit
Flyweight
86.8
CCR
Brandon Davis
Bantamweight
86.8
CCR
Charles Rosa
Featherweight
86.8
CCR
Charalampos Grigoriou
Bantamweight
86.7
CCR
Joseph Holmes
Middleweight
86.7
CCR
Miguel Baeza
Welterweight
86.6
CCR
Dwight Grant
Middleweight
86.3
CCR
Blood Diamond
Welterweight
86.3
CCR
Bruno Lopes
Light Heavyweight
86.3
CCR
Jay Perrin
Bantamweight
86.3
CCR
Don'Tale Mayes
Heavyweight
86.2
CCR
Greg Hardy
Heavyweight
86.2
CCR
Alessio Di Chirico
Middleweight
86.2
CCR
| Rank | Fighter | Weight class | CCR | Percentile | Percentile per weight class | SLpM | TD / min |
|---|---|---|---|---|---|---|---|
| 951 | Brandon Jenkins | Lightweight | 88.4 | 14.8% | 13.1% | 2.9 | 0.0 |
| 952 | Matt Sayles | Lightweight | 88.3 | 14.7% | 12.4% | 1.8 | 0.1 |
| 953 | Frankie Edgar | Bantamweight | 88.2 | 14.6% | 12.0% | 6.1 | 0.2 |
| 954 | Zarrukh Adashev | Flyweight | 88.2 | 14.5% | 9.5% | 5.3 | 0.0 |
| 955 | Ben Rothwell | Heavyweight | 88.1 | 14.4% | 23.7% | 3.8 | 0.0 |
| 956 | Zhalgas Zhumagulov | Flyweight | 88.1 | 14.3% | 8.1% | 5.9 | 0.1 |
| 957 | Dylan Budka | Middleweight | 88.1 | 14.3% | 22.6% | 0.8 | 0.1 |
| 958 | Connor Matthews | Featherweight | 88.0 | 14.2% | 13.3% | 4.3 | 0.2 |
| 959 | Laureano Staropoli | Middleweight | 87.8 | 14.1% | 21.7% | 1.7 | 0.1 |
| 960 | Aleksei Oleinik | Heavyweight | 87.8 | 14.0% | 22.4% | 1.9 | 0.0 |
| 961 | Andreas Michailidis | Welterweight | 87.8 | 13.9% | 11.5% | 1.0 | 0.1 |
| 962 | Scott Holtzman | Lightweight | 87.8 | 13.8% | 11.7% | 4.3 | 0.0 |
| 963 | Kron Gracie | Featherweight | 87.7 | 13.7% | 12.6% | 1.5 | 0.0 |
| 964 | Kevin Lee | Welterweight | 87.7 | 13.6% | 10.8% | 3.7 | 0.2 |
| 965 | Marc-Andre Barriault | Middleweight | 87.7 | 13.5% | 20.9% | 5.8 | 0.0 |
| 966 | Phil Hawes | Middleweight | 87.7 | 13.5% | 20.0% | 8.2 | 0.1 |
| 967 | Mallory Martin | Women's Strawweight | 87.7 | 13.4% | 11.0% | 5.3 | 0.0 |
| 968 | Journey Newson | Catch Weight | 87.7 | 13.3% | 14.3% | 2.6 | 0.1 |
| 969 | Brian Kelleher | Bantamweight | 87.6 | 13.2% | 11.3% | 2.0 | 0.2 |
| 970 | Tucker Lutz | Featherweight | 87.5 | 13.1% | 11.9% | 2.1 | 0.1 |
| 971 | Jhonata Diniz | Heavyweight | 87.4 | 13.0% | 21.1% | 3.7 | 0.0 |
| 972 | Chris Barnett | Heavyweight | 87.4 | 12.9% | 19.7% | 3.2 | 0.0 |
| 973 | Kevin Natividad | Bantamweight | 87.3 | 12.8% | 10.7% | 2.7 | 0.5 |
| 974 | Nate Landwehr | Featherweight | 87.3 | 12.7% | 11.2% | 5.2 | 0.1 |
| 975 | Lucas Almeida | Featherweight | 87.3 | 12.6% | 10.5% | 4.5 | 0.0 |
| 976 | Jake Collier | Heavyweight | 87.3 | 12.6% | 18.4% | 6.3 | 0.1 |
| 977 | Fabio Cherant | Light Heavyweight | 87.2 | 12.5% | 20.8% | 1.5 | 0.0 |
| 978 | TJ Brown | Featherweight | 87.2 | 12.4% | 9.8% | 2.9 | 0.2 |
| 979 | Kevin Croom | Bantamweight | 87.1 | 12.3% | 10.0% | 3.9 | 0.0 |
| 980 | Mauricio Rua | Light Heavyweight | 87.1 | 12.2% | 19.5% | 3.7 | 0.0 |
| 981 | Jessica-Rose Clark | Women's Bantamweight | 87.1 | 12.1% | 12.2% | 1.6 | 0.2 |
| 982 | Jonathan Pearce | Featherweight | 87.0 | 12.0% | 9.1% | 4.0 | 0.3 |
| 983 | Deron Winn | Middleweight | 87.0 | 11.9% | 19.1% | 3.4 | 0.0 |
| 984 | Liana Jojua | Women's Flyweight | 86.9 | 11.8% | 15.8% | 2.3 | 0.1 |
| 985 | Roosevelt Roberts | Lightweight | 86.9 | 11.7% | 11.0% | 2.5 | 0.0 |
| 986 | Poliana Botelho | Women's Flyweight | 86.9 | 11.7% | 14.0% | 3.9 | 0.0 |
| 987 | Trevin Jones | Bantamweight | 86.9 | 11.6% | 9.3% | 1.8 | 0.0 |
| 988 | Ryan Benoit | Flyweight | 86.8 | 11.5% | 6.8% | 2.5 | 0.0 |
| 989 | Brandon Davis | Bantamweight | 86.8 | 11.4% | 8.7% | 4.9 | 0.1 |
| 990 | Charles Rosa | Featherweight | 86.8 | 11.3% | 8.4% | 2.9 | 0.1 |
| 991 | Charalampos Grigoriou | Bantamweight | 86.7 | 11.2% | 8.0% | 2.1 | 0.2 |
| 992 | Joseph Holmes | Middleweight | 86.7 | 11.1% | 18.3% | 3.2 | 0.1 |
| 993 | Miguel Baeza | Welterweight | 86.6 | 11.0% | 10.1% | 2.0 | 0.0 |
| 994 | Dwight Grant | Middleweight | 86.3 | 10.9% | 17.4% | 3.2 | 0.1 |
| 995 | Blood Diamond | Welterweight | 86.3 | 10.9% | 9.4% | 3.1 | 0.0 |
| 996 | Bruno Lopes | Light Heavyweight | 86.3 | 10.8% | 18.2% | 2.5 | 0.2 |
| 997 | Jay Perrin | Bantamweight | 86.3 | 10.7% | 7.3% | 4.1 | 0.2 |
| 998 | Don'Tale Mayes | Heavyweight | 86.2 | 10.6% | 17.1% | 2.7 | 0.1 |
| 999 | Greg Hardy | Heavyweight | 86.2 | 10.5% | 15.8% | 3.1 | 0.0 |
| 1000 | Alessio Di Chirico | Middleweight | 86.2 | 10.4% | 16.5% | 3.5 | 0.0 |
Analytics guide
CCR
What it calculates
Current Competitiveness Rating (CCR): a composite score—like an Elo rating in chess—that evaluates advanced striking, grappling, pace, and opponent-quality stats into one number.
Why it matters
Weights recent performance much more heavily than older fights and incorporates factors like age. Use it to see who is fighting at an elite level right now.
TSR
What it calculates
True Skill Rating (TSR): the same composite approach applied across a fighter’s full UFC body of work, like an Elo rating built from advanced stats.
Why it matters
Does not overweight recency or adjust for age—it is a pure career evaluative metric. Helpful for separating sustained elite careers from short hot streaks.
SLpM
What it calculates
Total Significant Strikes Landed ÷ Total Fight Time (minutes)
Why it matters
Captures offensive pace and sustained scoring output — high SLpM forces opponents to fight at your tempo.
SApM
What it calculates
Total Significant Strikes Absorbed ÷ Total Fight Time (minutes)
Why it matters
Shows defensive efficiency and risk exposure — low SApM usually means better defense, distance management, and fewer damaging exchanges.
KD/M
What it calculates
Total Knockdowns ÷ Total Fight Time (minutes)
Why it matters
Measures a fighter’s ability to create high-impact, fight-changing moments that swing rounds or lead to finishes.
TD/M
What it calculates
Total Takedowns Landed ÷ Total Fight Time (minutes)
Why it matters
Signals wrestling pace and phase control — fighters who can reliably force grappling exchanges can neutralize dangerous strikers.
CTRL
What it calculates
Total Control Time ÷ Total Fight Time (minutes)
Why it matters
Quantifies positional dominance and round-winning leverage — control time often correlates with judges’ scoring and opponent suppression.
SUB/M
What it calculates
Total Submission Attempts ÷ Total Fight Time (minutes)
Why it matters
Reflects finishing threat on the mat — frequent submission attacks force defensive reactions that open up control and damage.
Rev
What it calculates
Total Reversals ÷ Total Fight Time (minutes)
Why it matters
Highlights scrambling and escape ability — reversals turn bad positions into scoring opportunities and can flip momentum.
C/15
What it calculates
(Total Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Standardizes grappling control to a 15-minute baseline so fighters with different bout lengths can be compared fairly.
TOP/15
What it calculates
(Total Top Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Separates high-quality control (top position) from other control contexts — strong top control is a reliable path to winning rounds.
CLN/15
What it calculates
(Total Clinch Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Measures fence control and pace management — clinch time can mute opponent offense and bank scoring minutes.
GRD/15
What it calculates
(Total Ground Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Shows takedown follow-through and top pressure — ground control often creates long stretches of safe scoring and attrition.
CAGE
What it calculates
(Total Cage Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Quantifies time spent driving position against the fence — useful for understanding style matchups and opponent disruption.
BACK
What it calculates
(Total Back Control Time ÷ Total Fight Time) × 15 minutes
Why it matters
Back control is premium dominance — it strongly predicts submission threat and long, uncontested control sequences.
CHIN
What it calculates
Model score (0–100): durability under damaging strikes
Why it matters
A quick durability signal — higher scores suggest a fighter can survive danger and remain competitive deep into fights.
TDAtt
What it calculates
Career total takedown attempts (UFC bouts)
Why it matters
Represents grappling intent and game-planning tendency — high attempt totals usually indicate a wrestler-first approach.
TDLnd
What it calculates
Career total takedowns landed (UFC bouts)
Why it matters
Proof of conversion and control potential — landed takedowns often precede control time, damage, and submission attempts.
TDAg
What it calculates
Career total opponent takedown attempts faced (UFC bouts)
Why it matters
Shows how often opponents choose to wrestle them — a proxy for perceived defensive striking threat or exploitable takedown defense.
TDDef
What it calculates
Career total opponent takedown attempts defended (UFC bouts)
Why it matters
Highlights defensive wrestling volume — strong defense keeps fights in a preferred phase and preserves striking efficiency.